MiniMax (official)
@MiniMax_AI · San Francisco · joined 03 Jan 2025
Code: @MiniMaxAgent MiniMax Design: @Hailuo_AI API: https://t.co/fHRdSV73Hr Token Plan: https://t.co/BDCycxdS9Y
122 830Followers
992Following
1 945Posts total
12.9MViews on collected posts
Latest posts
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Open models are changing the cost equation for production AI.
On September 16, MiniMax and @togethercompute are bringing Open by Design: The Economics of AI in Production to London 🇬🇧
We’ll get into:
⚙️ Where teams are finding real cost savings
🔀 How model selection and https:/
3.4K views · 39 likes
· 1 reposts · 8 replies
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We’re proud to see MiniMax-M3 powering HUMAIN-M3.
Built on the M3 foundation and further trained on more than 1 trillion Arabic tokens, HUMAIN-M3 brings frontier-level capabilities to Arabic, spanning diverse languages and regional dialects.
This is a meaningful milestone for
220.1K views · 707 likes
· 12 reposts · 40 replies
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HUMAIN unveils HUMAIN-M3, a frontier Arabic language model, commissioned by HUMAIN and developed by @MiniMax_AI, now available in research preview on HUMAIN Node.
Read more: https://t.co/OjOEgD6eDU
#HUMAIN #LEAP26 #TheEndOfLimits https://t.co/5tkCjITRt2
43.7K views · 62 likes
· 17 reposts · 17 replies
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Fast H3 on a local device! Good news for the localhost community: open, fast, high quality video generation running on local hardware! 🥳
There are so many good recipes for running local H3 - which one should I choose? 🫨
44.8K views · 430 likes
· 29 reposts · 15 replies
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Have you ever felt scared by how powerful your model is?
This really makes me wonder: are we living in a simulation? The whole world may just be a state-of-the-art video generation model. 🫨
32.1K views · 290 likes
· 9 reposts · 20 replies
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(1/7) Last week FastVideo released FastH3. Today we bring it local: @NVIDIA DGX Spark 💚 and @Apple Silicon 🍎through MLX. 8x speedup!
FastH3 now supported on NVIDIA DGX Spark and Apple Silicon! over base @MiniMax_AI H3 for local generation!
This 15 seconds 1344×768 clip was ht
93.7K views · 302 likes
· 45 reposts · 28 replies
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This is what open-source intelligence is for.
Built on vLLM-Omni and @haoailab's FastH3, with @NVIDIAAI hardware support - all public.
Real-time generation makes interactive video possible; an open baseline makes it improvable for everyone. Take it and go faster! 🚀
34.5K views · 367 likes
· 30 reposts · 22 replies
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We would never see this level of creation everywhere if SOTA video models stayed behind closed doors. Every single day, we're blown away by what you're building with MiniMax H3.
Remind yourself: MiniMax H3 open weights dropped just one month ago. Imagine where we'll be in a
48.8K views · 761 likes
· 43 reposts · 33 replies
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🎬Video generation faster than playback!
🚀MiniMax H3 on vLLM-Omni + FastVideo's FastH3: a complete 10.1s MP4 - video AND synchronized audio - rendered in 8.7s!⚡️
Thanks to @MiniMax_AI for the great Minimax H3 release, the FastVideo team @haoailab for open-sourcing FastH3 and htt
82.4K views · 598 likes
· 79 reposts · 20 replies
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@MiniMax_AI We will keep open every frontier model
19K views · 459 likes
· 17 reposts · 30 replies
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All music demo is here:
https://t.co/wwJU5uOGdA
30.5K views · 120 likes
· 7 reposts · 5 replies
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huggingface：https://t.co/V2rxZk4xvh
github: https://t.co/5FegDvVb1z
魔搭：https://t.co/twqa2vFqUI
55.3K views · 287 likes
· 22 reposts · 6 replies
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🎵MiniMax-Music3
Next-Generation Open-Weights Production-Ready & Versatile Music Model
https://t.co/V2rxZk4xvh https://t.co/6QYX2Ij6KI
1.7M views · 5.4K likes
· 655 reposts · 234 replies
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@MiniMax_AI open weights? are you going to share the hugging face link?
1.8K views · 18 likes
· 0 reposts · 0 replies
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MiniMax H3: Omni-Reference, Commercial-Grade Generation, Unbeatable Cost Efficiency, Open Weights
Your creative destiny, on your terms.
Now Live at https://t.co/3eD0u2z14S & MiniMax API.
2.8M views · 3.6K likes
· 87 reposts · 55 replies
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It's coming. @Hailuo_AI
#MiniMaxH3 https://t.co/v96yd3OpcN
1.7M views · 4.6K likes
· 225 reposts · 130 replies
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@MiniMax_AI Thank you MiniMax team for always releasing amazing open models! 🥰 We uploaded Dynamic GGUFs for folks that can run MiniMax M3 locally:
https://t.co/lwfWsOClzT
7.4K views · 145 likes
· 11 reposts · 6 replies
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@MiniMax_AI hope OSS guys enjoy this license
2.1K views · 54 likes
· 0 reposts · 2 replies
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@MiniMax_AI Yesss! We packed this much capability into a 428B model.🫡
1.8K views · 31 likes
· 0 reposts · 1 replies
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MiniMax M3, Open-Weight, Now On Hugging Face , with only ~428B parameters and ~23B activated parameters
Weights:
https://t.co/g4Ybfa2kWH
MiniMax Sparse Attention:
https://t.co/HcTlWRotG3
700.6K views · 2.7K likes
· 326 reposts · 113 replies
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Introducing MiniMax M3: The First Open-Weights Model to Combine Three Frontier Capabilities
- Coding & Agentic Frontier: 59.0% SWE-Bench Pro, 66.0% Terminal Bench 2.1, 34.8% SWE-fficiency, 28.8% KernelBench Hard, 74.2% MCP Atlas
- MiniMax Sparse Attention scales context to 1M
-
5.2M views · 10.4K likes
· 1.1K reposts · 573 replies
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Against accounts of the same size
18 posts from the last 90 days, next to the 100K–1M follower range. shown widely, but few of those viewers react.
Median views44 254this account5 983median for 100K–1M
Reach, %36.03%this account1.49%median for 100K–1M
Engagement, %0.64%this account0.93%median for 100K–1M
| Metric | This account | Median for 100K–1M | Ratio |
|---|---|---|---|
| Median views per post | 44 254 | 5 983 | 7.40× |
| Reach (views ÷ followers) | 36.03% | 1.49% | 24.2× |
| Engagement rate | 0.64% | 0.93% | 0.69× |
Others in this range → Compare with another account → How these benchmarks are built →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
1.7M13 Aug
55.3K
30.5K
33.5K
19K
82.4K1 Sep
48.8K
34.5K
93.7K2 Sep
32.1K
44.8K
43.7K3 Sep
220.1K
3.4K4 Sep
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.40%13 Aug
0.57%
0.44%
0.71%
2.68%
0.87%1 Sep
1.72%
1.22%
0.42%2 Sep
1.00%
1.06%
0.23%3 Sep
0.35%
1.43%4 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes72.8%31 604 in total
Reposts6.3%2 747 in total
Replies3.1%1 362 in total
Quotes1.3%568 in total
Bookmarks16.4%7 112 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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